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Open Access

Peer-reviewed

Research Article

An evaluation of different classification algorithms for protein sequence-based reverse vaccinology prediction

Ashley I. Heinson,

Roles Data curation, Formal analysis, Writing – original draft

Affiliation Faculty of Medicine University of Southampton, Southampton, United Kingdom

http://orcid.org/0000-0001-8695-6203

⨯
Rob M. Ewing,

Roles Conceptualization, Investigation, Methodology, Supervision, Writing – review & editing

Affiliation Department of Biological Sciences University of Southampton, Southampton, United Kingdom
⨯
John W. Holloway,

Roles Methodology, Supervision, Writing – review & editing

Affiliation Faculty of Medicine, University of Southampton, Southampton, United Kingdom
⨯
Christopher H. Woelk,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing – review & editing

Affiliation Merck Exploratory Science Center, Cambridge, United States of America
⨯
Mahesan Niranjan

Roles Conceptualization, Investigation, Methodology, Supervision, Writing – original draft, Writing – review & editing

* E-mail: mn@ecs.soton.ac.uk

Affiliation Department of Electronics and Computer Science, University of Southampton, Southampton, United Kingdom
⨯

An evaluation of different classification algorithms for protein sequence-based reverse vaccinology prediction

Ashley I. Heinson,
Rob M. Ewing,
John W. Holloway,
Christopher H. Woelk,
Mahesan Niranjan

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Published: December 13, 2019
https://doi.org/10.1371/journal.pone.0226256

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Support vector machines
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Machine learning
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Vaccine development
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